Applications of technology and large data in statistics education and statistical graphics
This dissertation is a composite of research preformed in the fields of statistics education and statistical graphics. The three body chapters stand as the pillars of this work; tied together by the common theme of overcoming challenges and grasping opportunities that are posed by emerging technologies and prodigious data sources. In Chapter 1 a review of the literature is conducted to lay the foundation upon which the work of the main body chapters is built. Chapter 2 is an educational experiment comparing the learning outcomes from simulation-based and traditional statistical inference curricula. Chapter 3 studies the development of a shiny application to connect students to large data. Chapter 4 contributes to research on binned scatterplots as a graphical tool for visualizing large data. Each body chapter in this dissertation is intended be submitted for publication individually; therefore, more detailed abstracts may be found at the beginning of each chapter.